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The task of finding authoritative people within an organization has received increased interest over the past few years. To identify an expert in a specific field, expertise evidence of candidates should be collected in the enterprise corpora to represent one's knowledge and skills. Though there have been various methods proposed for evidence collecting and expertise modeling, little work has been...
In this paper, we extend Razdan and Bae's second-order local fitting method to construct an effective third-order fitting patch. Compared to other estimation algorithms, this weighted bicubic Bezier patch more accurately obtains the normal vector and curvature estimation of a triangular mesh model. Furthermore, we define the principal geodesic torsion of each vertex on the mesh model and estimate...
Self-consistency is a fundamental principle in statistics for retaining maximum amount of information in the data. In this paper this principle is applied to develop a new method for nonparametric spectrum estimation with missing data. One major advantage of the proposed method is that it can be coupled with any complete data nonparametric spectrum estimation procedure, including kernel smoothing,...
In this paper, we suggest to use a modified version of Smoothed-lscr0 (SL0) algorithm in the sparse representation step of iterative dictionary learning algorithms. In addition, we use a steepest descent for updating the non unit column-norm dictionary instead of unit column-norm dictionary. Moreover, to do the dictionary learning task more blindly, we estimate the average number of active atoms in...
In this paper, a new region-based image matching method was proposed to find the user defined regions in other images. Not only local features and overall features are used, but spatial constraints are also employed. Experimental data were composed of 1000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three matching strategies were compared in experiments. They were overall...
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